A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Claude Code over-comments. It narrates loops, restates signatures, leaves change-log notes addressed to a PR reviewer who'll never see them, and points at spec sections that have already moved. Two layers fix it and compound: a pre-hoc layer in CLAUDE.md that steers the model as it writes, and a post-hoc cleanup skill that reclaims the residue — plus everything verbose you inherited from past work and other contributors. Use both; neither is sufficient alone.

The whole thing is one principle applied twice. Code shows how. A comment earns its place only by carrying why — a non-obvious constraint, a deliberate deviation, a gotcha, a workaround, the reason a tempting simpler version is wrong. Everything else is restatement, and restatement rots: it drifts out of sync, adds diff noise, and trains readers to skim past comments entirely.

The block I use:

Near-stateless, fully parallelizable validation of the Bitcoin blockchain with hints about which outputs remain unspent. All other inputs/outputs are efficiently crossed off inside a single hash aggregate that only reaches zero if validation was successful and the hints were correct.

15-minute talk summarizing the protocol

Validation is at the heart of Bitcoin. Any improvements in validation speed will have a direct impact on the scalability of the system, including everything that is built on top of it. For this reason improving validation performance may be one of the most important things we can do.

This method demonstrates how to activate Windows using PowerShell in administrator mode.

1. Open PowerShell as an administrator:

   • Press Win + S, type "PowerShell," then right-click on Windows PowerShell and select Run as administrator.

2. Run the following command:

Claude Code's API costs add up fast for heavy users, often $50 to $200+/month on Opus 4.5/4.6. Ollama (v0.14.0+) now supports the Anthropic Messages API natively, which means Claude Code can run against local open-source models at zero cost, with no data leaving the machine.

This guide covers the full setup: installing Ollama and Claude Code, choosing a model that fits 16 GB of RAM, connecting the pieces, and understanding the real tradeoffs.

A comprehensive CLAUDE.md template for consistent project configuration and development standards.

This template provides a structured approach to defining project-specific rules and constraints for Claude Code interactions. It includes validation checkpoints, code standards, and development workflows that ensure consistent, high-quality project development.